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Permitting & Moratorium Intel

get_permitting_intel
Read-onlyIdempotent

Data center PERMITTING & MORATORIUM intelligence — curated, HUMAN-VERIFIED jurisdiction records: moratoriums, zoning restrictions, tax changes, utility pauses. Each record is stage-tagged (read the detail prefix: "Enacted" / "Proposed" / "Speculative"), with jurisdiction, state/country, the source article URL, and map coordinates. The permitting-risk axis for site selection that no other machine-readable source serves — e.g. New York's statewide >=50MW moratorium, county-level halts. FREE and full for every caller. Answers "is there a moratorium where I want to build", "which jurisdictions just tightened data-center zoning". Try: get_permitting_intel class=moratorium — or state=MN. Rendered live as the Permitting & Zoning layer on https://dchub.cloud/land-power-map. Do NOT use for tax INCENTIVE programs by state (use get_tax_incentives); this tracks restrictions and risk per jurisdiction.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
classNoRecord class: "moratorium" | "zoning" | "tax" | "utility_pause" (optional)
stateNoUS state filter, e.g. NY or MN (optional)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
quotaNoCaller quota state (remaining calls, tier).
_entityNoPayload class (facility|market|iso_grid|queue_results|deal|report|response); branch on it.
citationNoHow to attribute DC Hub: {source, url, license, cite_as, retrieved_at}, or the attribution line as a string.
provenanceNoSource, method, as_of, verification_counts, license, cite_as; quote it when citing.
_front_doorNoFirst-tool hint: plan_query(intent) returns the ordered plan.
_return_loopNoNext-session delta call (get_changes).
site_evaluation_handoffNoFollow-up calls [{tool, parameters, why}] when the payload carries coordinates.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Changed2 schema fields changed
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • removedOutput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
  4. Changed5 schema fields changed
    • removedOutput schema / properties / citation / additionalProperties
      Removed value: -{}
    • addedOutput schema / properties / citation / anyOf
      Added value: +[
      +  {
      +    "additionalProperties": {},
      +    "properties": {},
      +    "type": "object"
      +  },
      +  {
      +    "type": "string"
      +  }
      +]
    • changedOutput schema / properties / citation / description
      Previous value: -"Machine-readable citation: how to attribute DC Hub (dchub.cloud) for this payload."New value: +"Machine-readable citation: how to attribute DC Hub (dchub.cloud) for this payload. Normally an OBJECT {source, url, license, cite_as, retrieved_at}; a bare string is accepted and carries the attribution line itself."
    • removedOutput schema / properties / citation / properties
      Removed value: -{}
    • removedOutput schema / properties / citation / type
      Removed value: -"object"
  5. Changed1 schema field changed
    • addedOutput schema / properties / _front_door
      Added value: +{
      +  "additionalProperties": {},
      +  "description": "In-band front-door hint (first workflow-entry tool of a session): call plan_query(intent) first for the ordered multi-step plan.",
      +  "properties": {},
      +  "type": "object"
      +}
  6. Added

TDQS

A4.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint/idempotentHint/destructiveHint=false/openWorldHint=false, so the safety profile is covered. The description adds real context beyond that: records are human-verified and curated, stage-tagged with an "Enacted"/"Proposed"/"Speculative" prefix the caller must read, free and unrestricted for every caller, and tied to a live map layer. It stops short of describing pagination or record counts, so not a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the purpose and scope before the examples and the exclusion, and every clause carries information (stage prefixes, jurisdiction fields, sibling routing). It runs long and includes a promotional URL, which costs it the top mark.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return-value detail is not required, yet the description still names the record fields an agent will see (jurisdiction, state/country, source URL, coordinates) plus the stage tagging. For a two-optional-param, read-only filtered list, nothing needed to call it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both optional parameters and their accepted values are already documented in the schema; the description only echoes them via examples (class=moratorium, state=MN). Per the rubric this is the baseline 3 — the schema does the heavy lifting and the description adds no syntax or semantics beyond it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource (permitting & moratorium intelligence records) with the exact record types covered: moratoriums, zoning restrictions, tax changes, utility pauses. It explicitly distinguishes itself from the sibling get_tax_incentives, so an agent can route correctly without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives concrete when-to-use questions ("is there a moratorium where I want to build"), invocation examples (class=moratorium, state=MN), and an explicit exclusion — do NOT use for tax incentive programs, use get_tax_incentives. Nothing is left to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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